Cloud based healthcare framework for criticality level analysis

Abstract

In a Cloud based development Amazon Web Service(AWS) is a platform which secures the cloud services, offers database storage, content delivery, computer power and also provides other functionality to help business scale and grow. This proposed work aims that medical healthcare inputs from various sensors have been automatically retrieved and directly loaded into the cloud. Once the data has been loaded creating the inference engine, setting up a big data cloud environment and store the data into a cloud based dataset. Medical data is calculated using machine learning algorithms such as K-Nearest Neighbor (KNN), Naïve Bayes and Support Vector Machine (SVM) through R shiny web application. The cloud system stores the health care data and transmitted to practitioners through the web service network. Based on these medical data the score value of a patient is calculated and displays criticality of patient.